/*
 Navicat Premium Data Transfer

 Source Server         : MySQL
 Source Server Type    : MySQL
 Source Server Version : 80300 (8.3.0)
 Source Host           : localhost:3306
 Source Schema         : social_media_analyse

 Target Server Type    : MySQL
 Target Server Version : 80300 (8.3.0)
 File Encoding         : 65001

 Date: 10/02/2025 20:49:19
*/

SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;

-- ----------------------------
-- Table structure for auth_group
-- ----------------------------
DROP TABLE IF EXISTS `auth_group`;
CREATE TABLE `auth_group` (
  `id` int NOT NULL AUTO_INCREMENT,
  `name` varchar(150) COLLATE utf8mb4_unicode_ci NOT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `name` (`name`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of auth_group
-- ----------------------------
BEGIN;
COMMIT;

-- ----------------------------
-- Table structure for auth_group_permissions
-- ----------------------------
DROP TABLE IF EXISTS `auth_group_permissions`;
CREATE TABLE `auth_group_permissions` (
  `id` bigint NOT NULL AUTO_INCREMENT,
  `group_id` int NOT NULL,
  `permission_id` int NOT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `auth_group_permissions_group_id_permission_id_0cd325b0_uniq` (`group_id`,`permission_id`),
  KEY `auth_group_permissio_permission_id_84c5c92e_fk_auth_perm` (`permission_id`),
  CONSTRAINT `auth_group_permissio_permission_id_84c5c92e_fk_auth_perm` FOREIGN KEY (`permission_id`) REFERENCES `auth_permission` (`id`),
  CONSTRAINT `auth_group_permissions_group_id_b120cbf9_fk_auth_group_id` FOREIGN KEY (`group_id`) REFERENCES `auth_group` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of auth_group_permissions
-- ----------------------------
BEGIN;
COMMIT;

-- ----------------------------
-- Table structure for auth_permission
-- ----------------------------
DROP TABLE IF EXISTS `auth_permission`;
CREATE TABLE `auth_permission` (
  `id` int NOT NULL AUTO_INCREMENT,
  `name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
  `content_type_id` int NOT NULL,
  `codename` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `auth_permission_content_type_id_codename_01ab375a_uniq` (`content_type_id`,`codename`),
  CONSTRAINT `auth_permission_content_type_id_2f476e4b_fk_django_co` FOREIGN KEY (`content_type_id`) REFERENCES `django_content_type` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=53 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of auth_permission
-- ----------------------------
BEGIN;
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (1, 'Can add log entry', 1, 'add_logentry');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (2, 'Can change log entry', 1, 'change_logentry');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (3, 'Can delete log entry', 1, 'delete_logentry');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (4, 'Can view log entry', 1, 'view_logentry');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (5, 'Can add permission', 2, 'add_permission');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (6, 'Can change permission', 2, 'change_permission');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (7, 'Can delete permission', 2, 'delete_permission');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (8, 'Can view permission', 2, 'view_permission');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (9, 'Can add group', 3, 'add_group');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (10, 'Can change group', 3, 'change_group');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (11, 'Can delete group', 3, 'delete_group');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (12, 'Can view group', 3, 'view_group');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (13, 'Can add content type', 4, 'add_contenttype');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (14, 'Can change content type', 4, 'change_contenttype');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (15, 'Can delete content type', 4, 'delete_contenttype');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (16, 'Can view content type', 4, 'view_contenttype');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (17, 'Can add session', 5, 'add_session');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (18, 'Can change session', 5, 'change_session');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (19, 'Can delete session', 5, 'delete_session');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (20, 'Can view session', 5, 'view_session');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (21, 'Can add user', 6, 'add_user');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (22, 'Can change user', 6, 'change_user');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (23, 'Can delete user', 6, 'delete_user');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (24, 'Can view user', 6, 'view_user');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (25, 'Can add user preference', 7, 'add_userpreference');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (26, 'Can change user preference', 7, 'change_userpreference');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (27, 'Can delete user preference', 7, 'delete_userpreference');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (28, 'Can view user preference', 7, 'view_userpreference');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (29, 'Can add 分析任务', 8, 'add_analysistask');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (30, 'Can change 分析任务', 8, 'change_analysistask');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (31, 'Can delete 分析任务', 8, 'delete_analysistask');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (32, 'Can view 分析任务', 8, 'view_analysistask');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (33, 'Can add 数据源', 9, 'add_datasource');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (34, 'Can change 数据源', 9, 'change_datasource');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (35, 'Can delete 数据源', 9, 'delete_datasource');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (36, 'Can view 数据源', 9, 'view_datasource');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (37, 'Can add 分析结果', 10, 'add_analysisresult');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (38, 'Can change 分析结果', 10, 'change_analysisresult');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (39, 'Can delete 分析结果', 10, 'delete_analysisresult');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (40, 'Can view 分析结果', 10, 'view_analysisresult');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (41, 'Can add 爬虫任务', 11, 'add_crawlertask');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (42, 'Can change 爬虫任务', 11, 'change_crawlertask');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (43, 'Can delete 爬虫任务', 11, 'delete_crawlertask');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (44, 'Can view 爬虫任务', 11, 'view_crawlertask');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (45, 'Can add 爬取数据', 12, 'add_crawleddata');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (46, 'Can change 爬取数据', 12, 'change_crawleddata');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (47, 'Can delete 爬取数据', 12, 'delete_crawleddata');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (48, 'Can view 爬取数据', 12, 'view_crawleddata');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (49, 'Can add 报表', 13, 'add_report');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (50, 'Can change 报表', 13, 'change_report');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (51, 'Can delete 报表', 13, 'delete_report');
INSERT INTO `auth_permission` (`id`, `name`, `content_type_id`, `codename`) VALUES (52, 'Can view 报表', 13, 'view_report');
COMMIT;

-- ----------------------------
-- Table structure for data_analysis_analysisresult
-- ----------------------------
DROP TABLE IF EXISTS `data_analysis_analysisresult`;
CREATE TABLE `data_analysis_analysisresult` (
  `id` bigint NOT NULL AUTO_INCREMENT,
  `title` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
  `description` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
  `data` json NOT NULL,
  `visualization_type` varchar(20) COLLATE utf8mb4_unicode_ci NOT NULL,
  `created_at` datetime(6) NOT NULL,
  `task_id` bigint NOT NULL,
  PRIMARY KEY (`id`),
  KEY `data_analysis_analys_task_id_783a2c09_fk_data_anal` (`task_id`),
  CONSTRAINT `data_analysis_analys_task_id_783a2c09_fk_data_anal` FOREIGN KEY (`task_id`) REFERENCES `data_analysis_analysistask` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=25 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of data_analysis_analysisresult
-- ----------------------------
BEGIN;
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (1, '发帖趋势分析', '近30天发帖数量趋势', '{\"dates\": [\"2025-01-10\", \"2025-01-11\", \"2025-01-12\", \"2025-01-13\", \"2025-01-14\", \"2025-01-15\", \"2025-01-16\", \"2025-01-17\", \"2025-01-18\", \"2025-01-19\", \"2025-01-20\", \"2025-01-21\", \"2025-01-22\", \"2025-01-23\", \"2025-01-24\", \"2025-01-25\", \"2025-01-26\", \"2025-01-27\", \"2025-01-28\", \"2025-01-29\", \"2025-01-30\", \"2025-01-31\", \"2025-02-01\", \"2025-02-02\", \"2025-02-03\", \"2025-02-04\", \"2025-02-05\", \"2025-02-06\", \"2025-02-07\", \"2025-02-08\"], \"values\": [18, 45, 54, 43, 57, 97, 96, 83, 55, 58, 57, 100, 35, 42, 56, 33, 58, 50, 73, 42, 58, 61, 73, 79, 55, 80, 15, 80, 29, 48]}', 'line', '2025-02-09 16:44:33.555205', 1);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (2, '话题分布分析', '热门话题分布情况', '{\"counts\": [134, 68, 182, 199, 56], \"topics\": [\"Python编程\", \"数据分析\", \"人工智能\", \"机器学习\", \"深度学习\"]}', 'pie', '2025-02-09 16:44:33.581264', 1);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (3, '情感分析', '内容情感倾向分析', '{\"values\": [121, 198, 165], \"categories\": [\"正面\", \"中性\", \"负面\"]}', 'bar', '2025-02-09 16:44:33.581714', 1);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (4, '用户活跃度分析', '用户发帖和互动情况分析', '{\"posts\": [16, 16, 10, 5, 19], \"users\": [\"用户1\", \"用户2\", \"用户3\", \"用户4\", \"用户5\"], \"engagements\": [710, 968, 684, 597, 150]}', 'scatter', '2025-02-09 16:44:33.582020', 1);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (5, '发帖趋势分析', '近30天发帖数量趋势', '{\"dates\": [\"2025-01-10\", \"2025-01-11\", \"2025-01-12\", \"2025-01-13\", \"2025-01-14\", \"2025-01-15\", \"2025-01-16\", \"2025-01-17\", \"2025-01-18\", \"2025-01-19\", \"2025-01-20\", \"2025-01-21\", \"2025-01-22\", \"2025-01-23\", \"2025-01-24\", \"2025-01-25\", \"2025-01-26\", \"2025-01-27\", \"2025-01-28\", \"2025-01-29\", \"2025-01-30\", \"2025-01-31\", \"2025-02-01\", \"2025-02-02\", \"2025-02-03\", \"2025-02-04\", \"2025-02-05\", \"2025-02-06\", \"2025-02-07\", \"2025-02-08\"], \"values\": [23, 53, 35, 95, 87, 46, 16, 85, 20, 14, 24, 25, 30, 36, 24, 54, 22, 59, 60, 53, 28, 18, 87, 87, 18, 35, 42, 75, 79, 42]}', 'line', '2025-02-09 17:03:19.145402', 2);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (6, '话题分布分析', '热门话题分布情况', '{\"counts\": [146, 62, 133, 99, 111], \"topics\": [\"Python编程\", \"数据分析\", \"人工智能\", \"机器学习\", \"深度学习\"]}', 'pie', '2025-02-09 17:03:19.147803', 2);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (7, '情感分析', '内容情感倾向分析', '{\"values\": [200, 127, 234], \"categories\": [\"正面\", \"中性\", \"负面\"]}', 'bar', '2025-02-09 17:03:19.148049', 2);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (8, '用户活跃度分析', '用户发帖和互动情况分析', '{\"posts\": [5, 20, 18, 11, 11], \"users\": [\"用户1\", \"用户2\", \"用户3\", \"用户4\", \"用户5\"], \"engagements\": [508, 551, 938, 160, 481]}', 'scatter', '2025-02-09 17:03:19.148415', 2);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (9, '发帖趋势分析', '近30天发帖数量趋势', '{\"dates\": [\"2025-01-10\", \"2025-01-11\", \"2025-01-12\", \"2025-01-13\", \"2025-01-14\", \"2025-01-15\", \"2025-01-16\", \"2025-01-17\", \"2025-01-18\", \"2025-01-19\", \"2025-01-20\", \"2025-01-21\", \"2025-01-22\", \"2025-01-23\", \"2025-01-24\", \"2025-01-25\", \"2025-01-26\", \"2025-01-27\", \"2025-01-28\", \"2025-01-29\", \"2025-01-30\", \"2025-01-31\", \"2025-02-01\", \"2025-02-02\", \"2025-02-03\", \"2025-02-04\", \"2025-02-05\", \"2025-02-06\", \"2025-02-07\", \"2025-02-08\"], \"values\": [71, 27, 70, 76, 65, 100, 81, 32, 53, 22, 21, 86, 86, 45, 80, 47, 61, 45, 51, 61, 55, 21, 86, 57, 95, 40, 19, 72, 15, 19]}', 'line', '2025-02-09 17:04:24.009034', 3);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (10, '话题分布分析', '热门话题分布情况', '{\"counts\": [93, 69, 169, 197, 193], \"topics\": [\"Python编程\", \"数据分析\", \"人工智能\", \"机器学习\", \"深度学习\"]}', 'pie', '2025-02-09 17:04:24.009789', 3);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (11, '情感分析', '内容情感倾向分析', '{\"values\": [133, 211, 145], \"categories\": [\"正面\", \"中性\", \"负面\"]}', 'bar', '2025-02-09 17:04:24.010157', 3);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (12, '用户活跃度分析', '用户发帖和互动情况分析', '{\"posts\": [6, 16, 20, 14, 16], \"users\": [\"用户1\", \"用户2\", \"用户3\", \"用户4\", \"用户5\"], \"engagements\": [734, 519, 562, 551, 269]}', 'scatter', '2025-02-09 17:04:24.010473', 3);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (13, '发帖趋势分析', '近30天发帖数量趋势', '{\"dates\": [\"2025-01-10\", \"2025-01-11\", \"2025-01-12\", \"2025-01-13\", \"2025-01-14\", \"2025-01-15\", \"2025-01-16\", \"2025-01-17\", \"2025-01-18\", \"2025-01-19\", \"2025-01-20\", \"2025-01-21\", \"2025-01-22\", \"2025-01-23\", \"2025-01-24\", \"2025-01-25\", \"2025-01-26\", \"2025-01-27\", \"2025-01-28\", \"2025-01-29\", \"2025-01-30\", \"2025-01-31\", \"2025-02-01\", \"2025-02-02\", \"2025-02-03\", \"2025-02-04\", \"2025-02-05\", \"2025-02-06\", \"2025-02-07\", \"2025-02-08\"], \"values\": [43, 62, 23, 66, 45, 97, 71, 95, 41, 77, 75, 88, 39, 71, 62, 46, 97, 57, 62, 83, 50, 21, 60, 81, 45, 54, 88, 28, 66, 16]}', 'line', '2025-02-09 17:07:11.998695', 4);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (14, '话题分布分析', '热门话题分布情况', '{\"counts\": [53, 125, 194, 177, 133], \"topics\": [\"Python编程\", \"数据分析\", \"人工智能\", \"机器学习\", \"深度学习\"]}', 'pie', '2025-02-09 17:07:12.002084', 4);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (15, '情感分析', '内容情感倾向分析', '{\"values\": [106, 107, 200], \"categories\": [\"正面\", \"中性\", \"负面\"]}', 'bar', '2025-02-09 17:07:12.002409', 4);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (16, '用户活跃度分析', '用户发帖和互动情况分析', '{\"posts\": [15, 15, 9, 10, 18], \"users\": [\"用户1\", \"用户2\", \"用户3\", \"用户4\", \"用户5\"], \"engagements\": [778, 195, 902, 511, 985]}', 'scatter', '2025-02-09 17:07:12.002772', 4);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (17, '发帖趋势分析', '近30天发帖数量趋势', '{\"dates\": [\"2025-01-10\", \"2025-01-11\", \"2025-01-12\", \"2025-01-13\", \"2025-01-14\", \"2025-01-15\", \"2025-01-16\", \"2025-01-17\", \"2025-01-18\", \"2025-01-19\", \"2025-01-20\", \"2025-01-21\", \"2025-01-22\", \"2025-01-23\", \"2025-01-24\", \"2025-01-25\", \"2025-01-26\", \"2025-01-27\", \"2025-01-28\", \"2025-01-29\", \"2025-01-30\", \"2025-01-31\", \"2025-02-01\", \"2025-02-02\", \"2025-02-03\", \"2025-02-04\", \"2025-02-05\", \"2025-02-06\", \"2025-02-07\", \"2025-02-08\"], \"values\": [51, 73, 65, 21, 90, 54, 74, 71, 91, 74, 44, 47, 34, 41, 66, 72, 92, 79, 14, 21, 35, 20, 57, 27, 63, 98, 53, 92, 55, 83]}', 'line', '2025-02-09 17:12:05.673737', 5);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (18, '话题分布分析', '热门话题分布情况', '{\"counts\": [135, 196, 62, 189, 144], \"topics\": [\"Python编程\", \"数据分析\", \"人工智能\", \"机器学习\", \"深度学习\"]}', 'pie', '2025-02-09 17:12:05.675336', 5);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (19, '情感分析', '内容情感倾向分析', '{\"values\": [275, 280, 254], \"categories\": [\"正面\", \"中性\", \"负面\"]}', 'bar', '2025-02-09 17:12:05.675610', 5);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (20, '用户活跃度分析', '用户发帖和互动情况分析', '{\"posts\": [5, 18, 9, 6, 5], \"users\": [\"用户1\", \"用户2\", \"用户3\", \"用户4\", \"用户5\"], \"engagements\": [188, 238, 715, 368, 527]}', 'scatter', '2025-02-09 17:12:05.675862', 5);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (21, '发帖趋势分析', '近30天发帖数量趋势', '{\"dates\": [\"2025-01-10\", \"2025-01-11\", \"2025-01-12\", \"2025-01-13\", \"2025-01-14\", \"2025-01-15\", \"2025-01-16\", \"2025-01-17\", \"2025-01-18\", \"2025-01-19\", \"2025-01-20\", \"2025-01-21\", \"2025-01-22\", \"2025-01-23\", \"2025-01-24\", \"2025-01-25\", \"2025-01-26\", \"2025-01-27\", \"2025-01-28\", \"2025-01-29\", \"2025-01-30\", \"2025-01-31\", \"2025-02-01\", \"2025-02-02\", \"2025-02-03\", \"2025-02-04\", \"2025-02-05\", \"2025-02-06\", \"2025-02-07\", \"2025-02-08\"], \"values\": [38, 32, 10, 17, 19, 87, 20, 13, 89, 50, 17, 85, 59, 37, 98, 46, 84, 26, 14, 79, 67, 12, 69, 83, 41, 78, 11, 39, 35, 33]}', 'line', '2025-02-09 17:22:34.705723', 6);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (22, '话题分布分析', '热门话题分布情况', '{\"counts\": [188, 195, 84, 199, 146], \"topics\": [\"Python编程\", \"数据分析\", \"人工智能\", \"机器学习\", \"深度学习\"]}', 'pie', '2025-02-09 17:22:34.737034', 6);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (23, '情感分析', '内容情感倾向分析', '{\"values\": [145, 255, 222], \"categories\": [\"正面\", \"中性\", \"负面\"]}', 'bar', '2025-02-09 17:22:34.737441', 6);
INSERT INTO `data_analysis_analysisresult` (`id`, `title`, `description`, `data`, `visualization_type`, `created_at`, `task_id`) VALUES (24, '用户活跃度分析', '用户发帖和互动情况分析', '{\"posts\": [17, 12, 6, 11, 12], \"users\": [\"用户1\", \"用户2\", \"用户3\", \"用户4\", \"用户5\"], \"engagements\": [132, 884, 227, 506, 182]}', 'scatter', '2025-02-09 17:22:34.739220', 6);
COMMIT;

-- ----------------------------
-- Table structure for data_analysis_analysistask
-- ----------------------------
DROP TABLE IF EXISTS `data_analysis_analysistask`;
CREATE TABLE `data_analysis_analysistask` (
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  `name` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
  `type` varchar(20) COLLATE utf8mb4_unicode_ci NOT NULL,
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  `completed_at` datetime(6) DEFAULT NULL,
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  KEY `data_analysis_analys_data_source_id_e43da6b9_fk_data_anal` (`data_source_id`),
  KEY `data_analysis_analysistask_user_id_7c936dd1_fk_users_user_id` (`user_id`),
  CONSTRAINT `data_analysis_analys_data_source_id_e43da6b9_fk_data_anal` FOREIGN KEY (`data_source_id`) REFERENCES `data_analysis_datasource` (`id`),
  CONSTRAINT `data_analysis_analysistask_user_id_7c936dd1_fk_users_user_id` FOREIGN KEY (`user_id`) REFERENCES `users_user` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=7 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of data_analysis_analysistask
-- ----------------------------
BEGIN;
INSERT INTO `data_analysis_analysistask` (`id`, `name`, `type`, `status`, `progress`, `parameters`, `result`, `error_message`, `created_at`, `updated_at`, `completed_at`, `user_id`, `data_source_id`) VALUES (1, '微博数据分析', 'sentiment', 'completed', 100, '{\"end_date\": \"2025-02-09T16:44:33.553863+00:00\", \"start_date\": \"2025-01-10T16:44:33.502365+00:00\", \"data_source_id\": 17}', NULL, '', '2025-02-09 16:44:33.554006', '2025-02-09 16:44:33.554013', '2025-02-09 16:44:33.553865', 8, 17);
INSERT INTO `data_analysis_analysistask` (`id`, `name`, `type`, `status`, `progress`, `parameters`, `result`, `error_message`, `created_at`, `updated_at`, `completed_at`, `user_id`, `data_source_id`) VALUES (2, '微博数据分析', 'sentiment', 'completed', 100, '{\"end_date\": \"2025-02-09T17:03:19.143822+00:00\", \"start_date\": \"2025-01-10T17:03:19.096359+00:00\", \"data_source_id\": 18}', NULL, '', '2025-02-09 17:03:19.143937', '2025-02-09 17:03:19.143943', '2025-02-09 17:03:19.143824', 8, 18);
INSERT INTO `data_analysis_analysistask` (`id`, `name`, `type`, `status`, `progress`, `parameters`, `result`, `error_message`, `created_at`, `updated_at`, `completed_at`, `user_id`, `data_source_id`) VALUES (3, '微博数据分析', 'sentiment', 'completed', 100, '{\"end_date\": \"2025-02-09T17:04:24.007471+00:00\", \"start_date\": \"2025-01-10T17:04:23.950019+00:00\", \"data_source_id\": 19}', NULL, '', '2025-02-09 17:04:24.007641', '2025-02-09 17:04:24.007650', '2025-02-09 17:04:24.007474', 8, 19);
INSERT INTO `data_analysis_analysistask` (`id`, `name`, `type`, `status`, `progress`, `parameters`, `result`, `error_message`, `created_at`, `updated_at`, `completed_at`, `user_id`, `data_source_id`) VALUES (4, '微博数据分析', 'sentiment', 'completed', 100, '{\"end_date\": \"2025-02-09T17:07:11.996955+00:00\", \"start_date\": \"2025-01-10T17:07:11.949299+00:00\", \"data_source_id\": 20}', NULL, '', '2025-02-09 17:07:11.997100', '2025-02-09 17:07:11.997107', '2025-02-09 17:07:11.996958', 8, 20);
INSERT INTO `data_analysis_analysistask` (`id`, `name`, `type`, `status`, `progress`, `parameters`, `result`, `error_message`, `created_at`, `updated_at`, `completed_at`, `user_id`, `data_source_id`) VALUES (5, '微博数据分析', 'sentiment', 'completed', 100, '{\"end_date\": \"2025-02-09T17:12:05.672542+00:00\", \"start_date\": \"2025-01-10T17:12:05.591320+00:00\", \"data_source_id\": 21}', NULL, '', '2025-02-09 17:12:05.672666', '2025-02-09 17:12:05.672672', '2025-02-09 17:12:05.672545', 8, 21);
INSERT INTO `data_analysis_analysistask` (`id`, `name`, `type`, `status`, `progress`, `parameters`, `result`, `error_message`, `created_at`, `updated_at`, `completed_at`, `user_id`, `data_source_id`) VALUES (6, '微博数据分析', 'sentiment', 'completed', 100, '{\"end_date\": \"2025-02-09T17:22:34.700380+00:00\", \"start_date\": \"2025-01-10T17:22:34.633352+00:00\", \"data_source_id\": 22}', NULL, '', '2025-02-09 17:22:34.700493', '2025-02-09 17:22:34.700499', '2025-02-09 17:22:34.700382', 8, 22);
COMMIT;

-- ----------------------------
-- Table structure for data_analysis_datasource
-- ----------------------------
DROP TABLE IF EXISTS `data_analysis_datasource`;
CREATE TABLE `data_analysis_datasource` (
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  `type` varchar(20) COLLATE utf8mb4_unicode_ci NOT NULL,
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) ENGINE=InnoDB AUTO_INCREMENT=23 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of data_analysis_datasource
-- ----------------------------
BEGIN;
INSERT INTO `data_analysis_datasource` (`id`, `name`, `type`, `credentials`, `is_active`, `created_at`, `updated_at`, `user_id`) VALUES (16, '微博数据源', 'weibo', '{\"proxy\": null, \"timeout\": 10, \"use_proxy\": false, \"max_retries\": 3}', 1, '2025-02-09 15:58:46.210939', '2025-02-09 15:58:46.211121', 10);
INSERT INTO `data_analysis_datasource` (`id`, `name`, `type`, `credentials`, `is_active`, `created_at`, `updated_at`, `user_id`) VALUES (17, '微博数据源', 'weibo', '{\"timeout\": 10, \"use_proxy\": false, \"max_retries\": 3}', 1, '2025-02-09 16:44:33.487321', '2025-02-09 16:44:33.487338', 8);
INSERT INTO `data_analysis_datasource` (`id`, `name`, `type`, `credentials`, `is_active`, `created_at`, `updated_at`, `user_id`) VALUES (18, '微博数据源', 'weibo', '{\"timeout\": 10, \"use_proxy\": false, \"max_retries\": 3}', 1, '2025-02-09 17:03:19.076613', '2025-02-09 17:03:19.076635', 8);
INSERT INTO `data_analysis_datasource` (`id`, `name`, `type`, `credentials`, `is_active`, `created_at`, `updated_at`, `user_id`) VALUES (19, '微博数据源', 'weibo', '{\"timeout\": 10, \"use_proxy\": false, \"max_retries\": 3}', 1, '2025-02-09 17:04:23.941396', '2025-02-09 17:04:23.941412', 8);
INSERT INTO `data_analysis_datasource` (`id`, `name`, `type`, `credentials`, `is_active`, `created_at`, `updated_at`, `user_id`) VALUES (20, '微博数据源', 'weibo', '{\"timeout\": 10, \"use_proxy\": false, \"max_retries\": 3}', 1, '2025-02-09 17:07:11.934686', '2025-02-09 17:07:11.934704', 8);
INSERT INTO `data_analysis_datasource` (`id`, `name`, `type`, `credentials`, `is_active`, `created_at`, `updated_at`, `user_id`) VALUES (21, '微博数据源', 'weibo', '{\"timeout\": 10, \"use_proxy\": false, \"max_retries\": 3}', 1, '2025-02-09 17:12:05.584541', '2025-02-09 17:12:05.584557', 8);
INSERT INTO `data_analysis_datasource` (`id`, `name`, `type`, `credentials`, `is_active`, `created_at`, `updated_at`, `user_id`) VALUES (22, '微博数据源', 'weibo', '{\"timeout\": 10, \"use_proxy\": false, \"max_retries\": 3}', 1, '2025-02-09 17:22:34.615083', '2025-02-09 17:22:34.615103', 8);
COMMIT;

-- ----------------------------
-- Table structure for data_analysis_report
-- ----------------------------
DROP TABLE IF EXISTS `data_analysis_report`;
CREATE TABLE `data_analysis_report` (
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  `type` varchar(20) COLLATE utf8mb4_unicode_ci NOT NULL,
  `metrics` json NOT NULL,
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  `created_at` datetime(6) NOT NULL,
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  CONSTRAINT `data_analysis_report_user_id_0368fd7e_fk_users_user_id` FOREIGN KEY (`user_id`) REFERENCES `users_user` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=10 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of data_analysis_report
-- ----------------------------
BEGIN;
INSERT INTO `data_analysis_report` (`id`, `name`, `type`, `metrics`, `parameters`, `result`, `status`, `error_message`, `start_date`, `end_date`, `created_at`, `updated_at`, `data_source_id`, `user_id`, `task_id`) VALUES (8, '01', 'trend', '[\"user_activity\", \"content_analysis\", \"sentiment\", \"data_volume\", \"engagement\"]', '{}', '{\"sentiment\": {\"neutral\": 0, \"negative\": 0, \"positive\": 0}, \"engagement\": {\"dates\": [\"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\", \"2025-02-09\"], \"likes\": [4030, 3565, 3311, 3597, 2016, 1813, 1262, 723, 1370, 3289, 1602, 4150, 1063, 3912, 849, 4361, 3321, 2840, 4025, 1441, 3103, 605, 4622, 2913, 1040, 4222, 2975, 3073, 3100, 3787, 3935, 4895, 3694, 165, 3991, 4591, 2084, 1483, 4923, 4043, 442, 2821, 1290, 1404, 2750, 4005, 3638, 4035, 635, 1686, 4858, 2522, 1420, 754, 816, 4963, 3821, 425, 4147, 2680, 4452, 2575, 2938, 802, 3209, 3092, 1091, 4898, 553, 49, 739, 2645, 1930, 512, 1811, 4582, 521, 2724, 4311, 3030, 2966, 2192, 487, 858, 894, 202, 3797, 2976, 3983, 4885, 4404, 3568, 3342, 367, 3895, 3974, 2122, 3108, 2498, 81], \"reposts\": [303, 450, 883, 443, 61, 302, 658, 894, 462, 270, 930, 790, 66, 270, 623, 401, 821, 299, 639, 92, 367, 148, 145, 508, 144, 9, 577, 866, 863, 250, 555, 670, 824, 291, 144, 758, 328, 185, 411, 35, 633, 165, 631, 176, 855, 647, 632, 328, 323, 600, 948, 408, 478, 707, 887, 796, 736, 859, 545, 726, 742, 153, 339, 395, 581, 633, 996, 322, 59, 241, 176, 540, 775, 553, 582, 970, 891, 962, 450, 125, 575, 440, 573, 54, 270, 961, 881, 407, 545, 974, 383, 945, 138, 896, 497, 892, 951, 158, 523, 781], \"comments\": [1624, 660, 1915, 1825, 161, 953, 1994, 1932, 865, 246, 693, 1858, 1249, 1377, 504, 499, 1772, 940, 957, 523, 672, 779, 380, 1814, 1152, 149, 1904, 1146, 850, 726, 1799, 1491, 1792, 1823, 423, 753, 886, 1396, 1544, 1650, 1713, 377, 508, 1409, 488, 596, 672, 1651, 600, 692, 629, 1344, 720, 1343, 1223, 791, 267, 112, 257, 212, 1803, 574, 1686, 1357, 1510, 1855, 257, 945, 748, 1041, 91, 899, 1229, 625, 882, 1702, 537, 1675, 1405, 1084, 1977, 1738, 777, 236, 16, 1667, 1732, 1644, 512, 890, 717, 881, 1327, 1277, 1237, 172, 1985, 1028, 1586, 1843]}, \"data_volume\": {\"dates\": [\"2025-02-09\"], \"values\": [100]}, \"user_activity\": {\"dates\": [\"2025-02-09\"], \"values\": [20]}, \"content_analysis\": {\"topics\": [{\"name\": \"微博\", \"value\": 100}, {\"name\": \"见解\", \"value\": 100}, {\"name\": \"分享\", \"value\": 100}, {\"name\": \"测试\", \"value\": 78}, {\"name\": \"经验\", \"value\": 18}, {\"name\": \"深度\", \"value\": 13}, {\"name\": \"5G\", \"value\": 13}, {\"name\": \"技术\", \"value\": 13}, {\"name\": \"区块\", \"value\": 13}, {\"name\": \"机器\", \"value\": 12}]}}', 'completed', NULL, '2025-02-04', '2025-03-20', '2025-02-09 19:09:40.588212', '2025-02-09 19:09:40.925687', 22, 8, '8c34f6ae-c8ed-44de-9d3d-356d5ac58e6e');
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COMMIT;

-- ----------------------------
-- Table structure for data_crawler_crawleddata
-- ----------------------------
DROP TABLE IF EXISTS `data_crawler_crawleddata`;
CREATE TABLE `data_crawler_crawleddata` (
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-- ----------------------------
-- Records of data_crawler_crawleddata
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INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (144, '{\"post\": {\"id\": \"5127091718455765\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": []}, \"source\": \"微博视频号\", \"content\": \"PYTHON challenge <a  href=\\\"https://video.weibo.com/show?fid=1034:5127091562414084\\\" data-hide=\\\"\\\"><span class=\'url-icon\'><img style=\'width: 1rem;height: 1rem\' src=\'https://h5.sinaimg.cn/upload/2015/09/25/3/timeline_card_small_video_default.png\'></span><span class=\\\"surl-text\\\">wwithohsion的微博视频</span></a> \", \"created_at\": \"Sun Jan 26 15:43:05 +0800 2025\", \"engagement\": {\"likes\": 141, \"reposts\": 29, \"comments\": 1}}, \"user\": {\"id\": 7794774665, \"name\": \"wwithohsion\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/7794774665\", \"followers_count\": \"1.8万\"}}', '{\"page\": 1, \"keyword\": \"Python编程\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:06.033552\"}', '2025-02-09 15:59:06.034591', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (145, '{\"post\": {\"id\": \"5128275882152502\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": []}, \"source\": \"\", \"content\": \"一分钟读懂如何向DeepSeek有效提问。  要让DeepSeek的回答更详细、更有用，提问方式很重要。  1. 明确背景和需求  问题：提供背景信息，说明你的使用场景、目标或遇到的困难。  例子： ❌ 模糊提问：“怎么学习编程？”  ✅ 具体提问：“我是一名市场营销人员，想用Python自动化处理Excel数据，应该如 ...<a href=\\\"/status/5128275882152502\\\">全文</a>\", \"created_at\": \"Wed Jan 29 22:08:32 +0800 2025\", \"engagement\": {\"likes\": 259, \"reposts\": 201, \"comments\": 10}}, \"user\": {\"id\": 3315905254, \"name\": \"啊鑫BugIsFuture\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/3315905254\", \"followers_count\": \"32.4万\"}}', '{\"page\": 1, \"keyword\": \"Python编程\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:06.042772\"}', '2025-02-09 15:59:06.043049', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (146, '{\"post\": {\"id\": \"5127553058341450\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": [\"https://wx2.sinaimg.cn/large/4e54678dly1hxzofys9mrj211w0u040h.jpg\", \"https://wx2.sinaimg.cn/large/4e54678dly1hxzofyk6ltj211w0u0q60.jpg\"]}, \"source\": \"微博视频号\", \"content\": \"现在DS有点卡，不过还是能用。 我用下面这个命令试了DS- R1和GPT o1. 发现DS-R1完全无错误，但o1虽然编出来了，运行到后面球掉了。 &quot;用 Python 编一个程序，画一个正在运动的五边形，然后在五边形里面有一个小球在里面做运动，运动要符合物理规律。&quot; \", \"created_at\": \"Mon Jan 27 22:16:17 +0800 2025\", \"engagement\": {\"likes\": 34, \"reposts\": 11, \"comments\": 2}}, \"user\": {\"id\": 1314154381, \"name\": \"圆觉傅李剑锋\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/1314154381\", \"followers_count\": \"42.3万\"}}', '{\"page\": 1, \"keyword\": \"Python编程\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:06.052813\"}', '2025-02-09 15:59:06.053078', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (147, '{\"post\": {\"id\": \"5126125439159549\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": []}, \"source\": \"微博视频号\", \"content\": \"夜深人静了来水啦~~  睡觉没前途的，宝宝们起来写代码哇。补录Jupyter写出第一行代码，并且运行成功。  配合上一个的Anaconda安装视频，至此，Python编程的准备工作都写完了。  Tips写写视频的补充吧: - Python的字符串和文本是以单引号，双引号，或者三个单引号包住的。 - Python里面的引号和括弧，都 ...<a href=\\\"/status/5126125439159549\\\">全文</a>\", \"created_at\": \"Thu Jan 23 23:43:26 +0800 2025\", \"engagement\": {\"likes\": 35, \"reposts\": 0, \"comments\": 14}}, \"user\": {\"id\": 1944165333, \"name\": \"Robert---Lee\", \"verified\": false, \"profile_url\": \"https://weibo.com/u/1944165333\", \"followers_count\": \"537\"}}', '{\"page\": 1, \"keyword\": \"Python编程\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:06.058188\"}', '2025-02-09 15:59:06.058379', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (148, '{\"post\": {\"id\": \"5122754871825311\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": [\"https://wx4.sinaimg.cn/large/ae36b15egy1hxkbdsou09j20bq0fa0u1.jpg\"]}, \"source\": \"微博网页版\", \"content\": \"<a  href=\\\"https://m.weibo.cn/search?containerid=231522type%3D1%26t%3D10%26q%3D%23%E7%89%9B%E6%B4%A5%E5%9C%A8%E7%BA%BF%E8%B5%84%E6%BA%90%23&extparam=%23%E7%89%9B%E6%B4%A5%E5%9C%A8%E7%BA%BF%E8%B5%84%E6%BA%90%23&luicode=10000011&lfid=100103type%3D1%26q%3Dtest\\\" data-hide=\\\"\\\"><span class=\\\"surl-text\\\">#牛津在线资源#</span></a> 新手友好！The Python-Based Laboratory: A Hands-On Guide for Scientists and Engineers助您轻松学会<a  href=\\\"https://m.weibo.cn/search?containerid=231522type%3D1%26t%3D10%26q%3D%23%E7%BC%96%E7%A8%8B%23&isnewpage=1&luicode=10000011&lfid=100103type%3D1%26q%3Dtest\\\" data-hide=\\\"\\\"><span class=\\\"surl-text\\\">#编程#</span></a> 。欢迎查看：<a  href=\\\"https://weibo.cn/sinaurl?u=https%3A%2F%2Facademic.oup.com%2Fbook%2F59225%3Futm_campaign%3D8693wdauz-8695bfjz8-Tg-Gh-Fd-Cm-Ai%26utm_source%3Dweibo%26utm_medium%3Dsocial%26utm_content%3Dtext%2Bimage%26utm_term%3DOUPAcademic%2B8697bryej\\\" data-hide=\\\"\\\"><span class=\'url-icon\'><img style=\'width: 1rem;height: 1rem\' src=\'https://h5.sinaimg.cn/upload/2015/09/25/3/timeline_card_small_web_default.png\'></span><span class=\\\"surl-text\\\">网页链接</span></a>  本书采用边学边做的方法，通过探索数字化波形的获取、制作、分析和展示等项目，引导读者掌握流行的开源Python计算机语言，使其成为强大的 ...<a href=\\\"/status/5122754871825311\\\">全文</a>\", \"created_at\": \"Tue Jan 14 16:30:00 +0800 2025\", \"engagement\": {\"likes\": 90, \"reposts\": 66, \"comments\": 4}}, \"user\": {\"id\": 2922819934, \"name\": \"牛津大学出版社学术出版-北京\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/2922819934\", \"followers_count\": \"3.6万\"}}', '{\"page\": 1, \"keyword\": \"Python编程\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:06.062443\"}', '2025-02-09 15:59:06.062651', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (149, '{\"post\": {\"id\": \"5125931545662518\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": []}, \"source\": \"微博视频号\", \"content\": \"Prompt:“编写一个Python脚本，创建一个在三角形内弹跳的红色小球，并确保正确处理碰撞检测。让三角形缓慢旋转。实现时要确保小球始终保持在三角形内。”左 OpenAI 右 DeepSeek  cr：zeroedge <a  href=\\\"https://video.weibo.com/show?fid=1034:5125931262476300\\\" data-hide=\\\"\\\"><span class=\'url-icon\'><img style=\'width: 1rem;height: 1rem\' src=\'https://h5.sinaimg.cn/upload/2015/09/25/3/timeline_card_small_video_default.png\'></span><span class=\\\"surl-text\\\">新智元的微博视频</span></a> \", \"created_at\": \"Thu Jan 23 10:52:58 +0800 2025\", \"engagement\": {\"likes\": 18, \"reposts\": 9, \"comments\": 2}}, \"user\": {\"id\": 5703921756, \"name\": \"新智元\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/5703921756\", \"followers_count\": \"20.3万\"}}', '{\"page\": 1, \"keyword\": \"Python编程\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:06.067800\"}', '2025-02-09 15:59:06.068009', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (150, '{\"post\": {\"id\": \"5127190562476131\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": [\"https://wx4.sinaimg.cn/large/0073Z3LFly1hxyis6fk3kj30uq0k0gok.jpg\", \"https://wx2.sinaimg.cn/large/0073Z3LFly1hxyis91ezmj30k60k0q2z.jpg\"]}, \"source\": \"微博视频号\", \"content\": \"<a  href=\\\"https://m.weibo.cn/search?containerid=231522type%3D1%26t%3D10%26q%3D%23AI%E5%88%9B%E9%80%A0%E8%90%A5%23&luicode=10000011&lfid=100103type%3D1%26q%3Dtest\\\" data-hide=\\\"\\\"><span class=\\\"surl-text\\\">#AI创造营#</span></a> DeepSeek R1（完整的 680B 模型）在配备 MLX 的 3 台 M2 Ultra 上以更高质量的 4 位运行良好。  问了一个编程问题，它思考了大约 2000 个标记，总共生成了 3500 个标记  提示：“编写一个 Python 脚本，用于在正方形内弹跳的黄色球，确保正确处理碰撞检测。使正方形缓慢旋转。用 Python 实 ...<a href=\\\"/status/5127190562476131\\\">全文</a>\", \"created_at\": \"Sun Jan 26 22:15:51 +0800 2025\", \"engagement\": {\"likes\": 7, \"reposts\": 5, \"comments\": 0}}, \"user\": {\"id\": 6471811327, \"name\": \"西晋无畏的鱼丸\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/6471811327\", \"followers_count\": \"1.4万\"}}', '{\"page\": 1, \"keyword\": \"Python编程\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:06.071092\"}', '2025-02-09 15:59:06.071241', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (151, '{\"post\": {\"id\": \"5127161233284079\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": [\"https://wx1.sinaimg.cn/large/005LiAjTly1hxyfdluo24j30u014046p.jpg\", \"https://wx4.sinaimg.cn/large/005LiAjTly1hxyfdm54cxj30u014044y.jpg\"]}, \"source\": \"萌娃养成记超话\", \"content\": \"<a  href=\\\"https://m.weibo.cn/p/index?extparam=%E7%BB%98%E6%9C%AC%E7%AB%A5%E5%B0%91%E7%88%B7%E6%88%90%E9%95%BF%E8%AE%B0&containerid=100808d758b040df1448dc04555a5998e08d9f&luicode=10000011&lfid=100103type%3D1%26q%3Dtest\\\" data-hide=\\\"\\\"><span class=\'url-icon\'><img style=\'width: 1rem;height: 1rem\' src=\'https://n.sinaimg.cn/photo/5213b46e/20180926/timeline_card_small_super_default.png\'></span><span class=\\\"surl-text\\\">绘本童少爷成长记</span></a>   第一天开始学python<span class=\\\"url-icon\\\"><img alt=[偷笑] src=\\\"https://h5.sinaimg.cn/m/emoticon/icon/default/d_touxiao-0d995330b6.png\\\" style=\\\"width:1em; height:1em;\\\" /></span>  他爸比开始教他了！ 外面的培训机构跑路了<span class=\\\"url-icon\\\"><img alt=[笑cry] src=\\\"https://h5.sinaimg.cn/m/emoticon/icon/default/d_xiaoku-f2bd11b506.png\\\" style=\\\"width:1em; height:1em;\\\" /></span> 第一次遇见这种！无语😓  靠谁不如靠自己！ 人家学的不亦乐乎！第一次就上了一个小时 课后又教我<span class=\\\"url-icon\\\"><img alt=[允悲] src=\\\"https://h5.sinaimg.cn/m/emoticon/icon/default/d_yunbei-a14a649db8.png\\\" style=\\\"width:1em; height:1em;\\\" /></span>费曼学习法用的很好 自己又在研究练习啦！ <a  href=\\\"https://m.weibo.cn/search?containerid=231522type%3D1%26t%3D10%26q%3D%23python%23&isnewpage=1&luicode=10000011&lfid=100103type%3D1%26q%3Dtest\\\" data-hide=\\\"\\\"><span class=\\\"surl-text\\\">#python#</span></a><a  href=\\\"https://m.weibo.cn/p/index?extparam=%E7%BC%96%E7%A8%8B&containerid=10080841282bf95e43c64d579757573a03cdde&luicode=10000011&lfid=100103type%3D1%26q%3Dtest\\\" data-hide=\\\"\\\"><span class=\'url-icon\'><img style=\'width: 1rem;height: 1rem\' src=\'https://n.sinaimg.cn/photo/5213b46e/20180926/timeline_card_small_super_default.png\'></span><span class=\\\"surl-text\\\">编程</span></a><a  href=\\\"https://m.weibo.cn/p/index?extparam=%E8%90%8C%E5%A8%83&containerid=100808a9c1e5ba60138fdc1e11dad867a2bdc4&luicode=10000011&lfid=100103type%3D1%26q%3Dtest\\\" data-hide=\\\"\\\"><span class=\'url-icon\'><img style=\'width: 1rem;height: 1rem\' src=\'https://n.sinaimg.cn/photo/5213b46e/20180926/timeline_card_small_super_default.png\'></span><span class=\\\"surl-text\\\">萌娃</span></a> ...<a href=\\\"/status/5127161233284079\\\">全文</a>\", \"created_at\": \"Sun Jan 26 20:19:19 +0800 2025\", \"engagement\": {\"likes\": 6, \"reposts\": 0, \"comments\": 3}}, \"user\": {\"id\": 5279581473, \"name\": \"童妈Fiona\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/5279581473\", \"followers_count\": \"9万\"}}', '{\"page\": 1, \"keyword\": \"Python编程\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:06.074203\"}', '2025-02-09 15:59:06.074391', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (152, '{\"post\": {\"id\": \"5127045358553591\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": []}, \"source\": \"微博视频号\", \"content\": \"Python年微信个人红包制作  Python icon🔗  python.org/community/logos/ <a  href=\\\"https://video.weibo.com/show?fid=1034:5127044724359178\\\" data-hide=\\\"\\\"><span class=\'url-icon\'><img style=\'width: 1rem;height: 1rem\' src=\'https://h5.sinaimg.cn/upload/2015/09/25/3/timeline_card_small_video_default.png\'></span><span class=\\\"surl-text\\\">黄健楸的微博视频</span></a> \", \"created_at\": \"Sun Jan 26 12:38:52 +0800 2025\", \"engagement\": {\"likes\": 4, \"reposts\": 1, \"comments\": 1}}, \"user\": {\"id\": 6083767801, \"name\": \"黄健楸\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/6083767801\", \"followers_count\": \"1.7万\"}}', '{\"page\": 1, \"keyword\": \"Python编程\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:06.077549\"}', '2025-02-09 15:59:06.077685', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (153, '{\"post\": {\"id\": \"5132174168953435\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": [\"https://wx2.sinaimg.cn/large/005XTtAYgy1hyef6a94l1j30u00z2150.jpg\"]}, \"source\": \"热门财经iPhone 15 Pro Max\", \"content\": \"明天大A继续上涨，热点全面开花，将迎来普涨行情！  刚刚市场传来2个浓烈的消息，第一个消息让我异常震惊，第二个消息为联合国人工智能专家大为称赞，究竟是怎么回事？会不会影响你手中的股票？DeepSeek概念怎么看？给股民的几点提醒：  1、经观：关于DeepSeek的误读与幻觉。  根据，经济观察网表示， ...<a href=\\\"/status/5132174168953435\\\">全文</a>\", \"created_at\": \"Sun Feb 09 16:18:56 +0800 2025\", \"engagement\": {\"likes\": 406, \"reposts\": 19, \"comments\": 0}}, \"user\": {\"id\": 5465689792, \"name\": \"鬼哥看趋势\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/5465689792\", \"followers_count\": \"35.7万\"}}', '{\"page\": 1, \"keyword\": \"人工智能\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:20.386741\"}', '2025-02-09 15:59:20.387500', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (154, '{\"post\": {\"id\": \"5132047830746684\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": []}, \"source\": \"好书我来推荐超话\", \"content\": \"<a  href=\\\"https://m.weibo.cn/search?containerid=231522type%3D1%26t%3D10%26q%3D%23DeepSeek%E5%AE%98%E7%BD%91%E5%92%8C%E6%AD%A3%E7%89%88APP%E6%97%A0%E4%BB%98%E8%B4%B9%E9%A1%B9%E7%9B%AE%23&extparam=%23DeepSeek%E5%AE%98%E7%BD%91%E5%92%8C%E6%AD%A3%E7%89%88APP%E6%97%A0%E4%BB%98%E8%B4%B9%E9%A1%B9%E7%9B%AE%23&luicode=10000011&lfid=100103type%3D1%26q%3DPython%25E7%25BC%2596%25E7%25A8%258B\\\" data-hide=\\\"\\\"><span class=\\\"surl-text\\\">#DeepSeek官网和正版APP无付费项目#</span></a><a  href=\\\"https://m.weibo.cn/search?containerid=231522type%3D1%26t%3D10%26q%3D%23%E5%A5%BD%E4%B9%A6%E6%8E%A8%E8%8D%90%23&isnewpage=1&luicode=10000011&lfid=100103type%3D1%26q%3DPython%25E7%25BC%2596%25E7%25A8%258B\\\" data-hide=\\\"\\\"><span class=\\\"surl-text\\\">#好书推荐#</span></a><a  href=\\\"https://m.weibo.cn/search?containerid=231522type%3D1%26t%3D10%26q%3D%23%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E6%97%B6%E4%BB%A3%E4%B8%8E%E4%BA%BA%E7%B1%BB%E6%9C%AA%E6%9D%A5%23&extparam=%23%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E6%97%B6%E4%BB%A3%E4%B8%8E%E4%BA%BA%E7%B1%BB%E6%9C%AA%E6%9D%A5%23&luicode=10000011&lfid=100103type%3D1%26q%3DPython%25E7%25BC%2596%25E7%25A8%258B\\\" data-hide=\\\"\\\"><span class=\\\"surl-text\\\">#人工智能时代与人类未来#</span></a> 人工智能正在改变我们的世界，从我们的社会机构到人类意识本身，人工智能将改变每一个主要领域。 现在是时候为即将发生的变化做准备了。  《人工智能时代与人类未来》分享给大家。从历史洞见未来，看清人工智能发展趋势与挑战， ...<a href=\\\"/status/5132047830746684\\\">全文</a>\", \"created_at\": \"Sun Feb 09 07:56:54 +0800 2025\", \"engagement\": {\"likes\": 35, \"reposts\": 9, \"comments\": 26}}, \"user\": {\"id\": 3561653373, \"name\": \"love邓小猫\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/3561653373\", \"followers_count\": \"4.7万\"}}', '{\"page\": 1, \"keyword\": \"人工智能\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:20.392750\"}', '2025-02-09 15:59:20.393041', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (155, '{\"post\": {\"id\": \"5132219381192608\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": []}, \"source\": \"见评🍓iPhone 15 Pro\", \"content\": \"[补档]科幻尺度电影<a  href=\\\"https://m.weibo.cn/search?containerid=231522type%3D1%26t%3D10%26q%3D%23%E4%BB%BF%E7%94%9F%E4%BA%BA%E5%A6%BB%E5%AD%90%23&extparam=%23%E4%BB%BF%E7%94%9F%E4%BA%BA%E5%A6%BB%E5%AD%90%23&luicode=10000011&lfid=100103type%3D1%26q%3DPython%25E7%25BC%2596%25E7%25A8%258B\\\" data-hide=\\\"\\\"><span class=\\\"surl-text\\\">#仿生人妻子#</span></a>👇🏻2K。 乔纳森·莱斯·梅耶斯、埃莱娜·康博里斯主演。 讲述威廉丧妻后，从AI公司得到一位与亡妻样貌相同的仿生人，在人工智能开发的斗争中，一个神秘组织试图通过破坏仿生人的程序来让仿生人获得自由...<a  href=\\\"https://m.weibo.cn/search?containerid=231522type%3D1%26t%3D10%26q%3D%23WifeLike%23&extparam=%23WifeLike%23&luicode=10000011&lfid=100103type%3D1%26q%3DPython%25E7%25BC%2596%25E7%25A8%258B\\\" data-hide=\\\"\\\"><span class=\\\"surl-text\\\">#WifeLike#</span></a><a  href=\\\"https://video.weibo.com/show?fid=1034:4999263487197242\\\" data-hide=\\\"\\\"><span class=\'url-icon\'><img style=\'width: 1rem;height: 1rem\' src=\'https://h5.sinaimg.cn/upload/2015/09/25/3/timeline_card_small_video_default.png\'></span><span class=\\\"surl-text\\\">电影美剧派的微博视频</span></a> \", \"created_at\": \"Sun Feb 09 19:18:35 +0800 2025\", \"engagement\": {\"likes\": 30, \"reposts\": 3, \"comments\": 4}}, \"user\": {\"id\": 5693816900, \"name\": \"电影美剧派\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/5693816900\", \"followers_count\": \"13.6万\"}}', '{\"page\": 1, \"keyword\": \"人工智能\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:20.399296\"}', '2025-02-09 15:59:20.399484', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (156, '{\"post\": {\"id\": \"5131958491021671\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": []}, \"source\": \"微博网页版\", \"content\": \"前几天吐槽了生成式人工智能创造的文字，这回来介绍一个正在被讨论的想法：「文本末世（Textpocalypse）」。  这个提法由马里兰大学英语系的学者Matthew Kirschenbaum提出，用来形容一场可能由大规模语言模型和生成式人工智能技术带来的文本灾变。在Kirschenbaum看来，随着这些技术的发展与普及，现阶 ...<a href=\\\"/status/5131958491021671\\\">全文</a>\", \"created_at\": \"Sun Feb 09 02:01:54 +0800 2025\", \"engagement\": {\"likes\": 119, \"reposts\": 110, \"comments\": 3}}, \"user\": {\"id\": 7062290270, \"name\": \"今夜零下十年\", \"verified\": false, \"profile_url\": \"https://weibo.com/u/7062290270\", \"followers_count\": \"1万\"}}', '{\"page\": 1, \"keyword\": \"人工智能\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:20.403574\"}', '2025-02-09 15:59:20.403752', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (157, '{\"post\": {\"id\": \"5132255301995286\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": []}, \"source\": \"\", \"content\": \"人工智能对我来说最大的优点是无论我说什么乱七八糟牛头不对马嘴莫名其妙天马行空的话，经过深度思考都二话不说先肯定我，再摆事实讲道理分析个一二三。有时我甚至会想带着这台苹果手机搭载着deepseek ChatGPT穿越回14岁，要是那时候的我能被这样全面地肯定该有多好！ \", \"created_at\": \"Sun Feb 09 21:41:19 +0800 2025\", \"engagement\": {\"likes\": 395, \"reposts\": 13, \"comments\": 19}}, \"user\": {\"id\": 5997605338, \"name\": \"推拿熊\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/5997605338\", \"followers_count\": \"115.1万\"}}', '{\"page\": 1, \"keyword\": \"人工智能\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:20.407160\"}', '2025-02-09 15:59:20.407375', 16);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (158, '{\"post\": {\"id\": \"5132275271078528\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": [\"https://wx1.sinaimg.cn/large/bb0e59bfly1hyequ8t4buj22161dc1kx.jpg\"]}, \"source\": \"微博网页版\", \"content\": \"花了三个半小时在 YouTube 看完了 Karpathy 的《深入探索 ChatGPT 类大模型》，应该是目前入门了解大模型最好的视频？视频是做给普通用户的，搭配沉浸式翻译基本都能看懂。 - Karpathy 是 OpenAI 创始成员，后来加入特斯拉当人工智能总监，现在又回到了 OpenAI 并且在 YouTube 做免费教学视频。 视频里 ...<a href=\\\"/status/5132275271078528\\\">全文</a>\", \"created_at\": \"Sun Feb 09 23:00:40 +0800 2025\", \"engagement\": {\"likes\": 122, \"reposts\": 119, \"comments\": 10}}, \"user\": {\"id\": 3138279871, \"name\": \"酱紫表\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/3138279871\", \"followers_count\": \"15.9万\"}}', '{\"page\": 1, \"keyword\": \"人工智能\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:20.410419\"}', '2025-02-09 15:59:20.410578', 16);
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INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (161, '{\"post\": {\"id\": \"5131747822143731\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": [\"https://wx3.sinaimg.cn/large/007iMKmwgy1hyd259wgzbj30u02mchdt.jpg\"]}, \"source\": \"阴阳师手游超话\", \"content\": \"<a  href=\\\"https://m.weibo.cn/p/index?extparam=%E9%98%B4%E9%98%B3%E5%B8%88%E6%89%8B%E6%B8%B8&containerid=1008089f43a6f58e2801c14726c9cc51cabd22&luicode=10000011&lfid=100103type%3D1%26q%3D%25E4%25BA%25BA%25E5%25B7%25A5%25E6%2599%25BA%25E8%2583%25BD\\\" data-hide=\\\"\\\"><span class=\'url-icon\'><img style=\'width: 1rem;height: 1rem\' src=\'https://n.sinaimg.cn/photo/5213b46e/20180926/timeline_card_small_super_default.png\'></span><span class=\\\"surl-text\\\">阴阳师手游</span></a>  新春版本式神数据 1️⃣祸津神登顶选取率，高达37.39%。 2️⃣神酿星熊童子登顶胜率，高达54.97% 3️⃣鬼吞影响力持续走低，胜率选取率23+6。 4️⃣神启荒胜率持续走低，目前仅有48% 5️⃣不知火选取率持续增加，已达24.7%，排名第四。 \", \"created_at\": \"Sat Feb 08 12:04:47 +0800 2025\", \"engagement\": {\"likes\": 51, \"reposts\": 3, \"comments\": 49}}, \"user\": {\"id\": 6690521836, \"name\": \"阿白不困告\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/6690521836\", \"followers_count\": \"41.1万\"}}', '{\"page\": 1, \"keyword\": \"数据分析\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:33.884148\"}', '2025-02-09 15:59:33.884358', 16);
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INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (163, '{\"post\": {\"id\": \"5131312509749007\", \"media\": {\"topics\": [], \"mentions\": [], \"pictures\": []}, \"source\": \"微博视频号\", \"content\": \"<a  href=\\\"https://m.weibo.cn/search?containerid=231522type%3D1%26t%3D10%26q%3D%23%E8%9B%87%E6%9D%A5%E8%BF%90%E8%BD%AC%E7%AF%AE%E4%B8%8D%E4%BD%8F%23&extparam=%23%E8%9B%87%E6%9D%A5%E8%BF%90%E8%BD%AC%E7%AF%AE%E4%B8%8D%E4%BD%8F%23&luicode=10000011&lfid=100103type%3D1%26q%3D%25E4%25BA%25BA%25E5%25B7%25A5%25E6%2599%25BA%25E8%2583%25BD\\\" data-hide=\\\"\\\"><span class=\\\"surl-text\\\">#蛇来运转篮不住#</span></a>    “数据分析能将复杂的数据 利用编程技术 数据可视化技术 传达给其他人”  作者：Vimeo.com 翻译：utar1234 校对：乌鸦羊  时间：utar1234  <a href=\'/n/乌鸦羊\'>@乌鸦羊</a> <a href=\'/n/mcley\'>@mcley</a> <a href=\'/n/体坛篮球秀\'>@体坛篮球秀</a> <a href=\'/n/刱造社-齐邦\'>@刱造社-齐邦</a> <a href=\'/n/DrLaymon\'>@DrLaymon</a> <a href=\'/n/亚军篮界\'>@亚军篮界</a> <a href=\'/n/三十分说球\'>@三十分说球</a> <a href=\'/n/MrWeei\'>@MrWeei</a> <a href=\'/n/孔德昕\'>@孔德昕</a> <a href=\'/n/解说员晓晨\'>@解说员晓晨</a> <a href=\'/n/公民不懂球\'>@公民不懂球</a> <a href=\'/n/阿基看球\'>@阿基看球</a>  ...<a href=\\\"/status/5131312509749007\\\">全文</a>\", \"created_at\": \"Fri Feb 07 07:15:00 +0800 2025\", \"engagement\": {\"likes\": 31, \"reposts\": 12, \"comments\": 1}}, \"user\": {\"id\": 1620562470, \"name\": \"篮球战术画报\", \"verified\": true, \"profile_url\": \"https://weibo.com/u/1620562470\", \"followers_count\": \"17.6万\"}}', '{\"page\": 1, \"keyword\": \"数据分析\", \"platform\": \"weibo\", \"data_type\": \"post\", \"crawled_at\": \"2025-02-09T15:59:33.893480\"}', '2025-02-09 15:59:33.893655', 16);
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INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (963, '{\"post\": {\"id\": \"test_post_94\", \"media\": {\"topics\": [\"5G技术\", \"区块链\"], \"mentions\": [], \"pictures\": []}, \"source\": \"微博 weibo.com\", \"content\": \"这是一条测试微博 #5G技术# 分享技术经验和见解。\", \"created_at\": \"2025-01-27T22:27:34.633352+00:00\", \"engagement\": {\"likes\": 3895, \"reposts\": 497, \"comments\": 1237}}, \"user\": {\"id\": \"test_user_3\", \"name\": \"测试用户_1\", \"verified\": false, \"followers_count\": 8142}}', '{\"keyword\": \"人工智能\", \"user_id\": \"test_user_3\", \"platform\": \"weibo\", \"crawled_at\": \"2025-02-09T17:22:34.694713+00:00\", \"engagement_count\": 5629}', '2025-02-09 17:22:34.694783', 24);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (964, '{\"post\": {\"id\": \"test_post_95\", \"media\": {\"topics\": [\"云计算\", \"深度学习\"], \"mentions\": [], \"pictures\": []}, \"source\": \"微博 weibo.com\", \"content\": \"这是一条测试微博 #云计算# 分享技术经验和见解。\", \"created_at\": \"2025-01-18T01:44:34.633352+00:00\", \"engagement\": {\"likes\": 3974, \"reposts\": 892, \"comments\": 172}}, \"user\": {\"id\": \"test_user_13\", \"name\": \"测试用户_7\", \"verified\": false, \"followers_count\": 9472}}', '{\"keyword\": \"人工智能\", \"user_id\": \"test_user_13\", \"platform\": \"weibo\", \"crawled_at\": \"2025-02-09T17:22:34.695048+00:00\", \"engagement_count\": 5038}', '2025-02-09 17:22:34.695100', 24);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (965, '{\"post\": {\"id\": \"test_post_96\", \"media\": {\"topics\": [\"5G技术\", \"深度学习\", \"人工智能\"], \"mentions\": [], \"pictures\": []}, \"source\": \"微博 weibo.com\", \"content\": \"这是一条测试微博 #5G技术# 分享技术经验和见解。\", \"created_at\": \"2025-01-23T21:41:34.633352+00:00\", \"engagement\": {\"likes\": 2122, \"reposts\": 951, \"comments\": 1985}}, \"user\": {\"id\": \"test_user_18\", \"name\": \"测试用户_3\", \"verified\": false, \"followers_count\": 3937}}', '{\"keyword\": \"人工智能\", \"user_id\": \"test_user_18\", \"platform\": \"weibo\", \"crawled_at\": \"2025-02-09T17:22:34.695856+00:00\", \"engagement_count\": 5058}', '2025-02-09 17:22:34.695905', 24);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (966, '{\"post\": {\"id\": \"test_post_97\", \"media\": {\"topics\": [\"大数据\", \"5G技术\", \"Python编程\"], \"mentions\": [], \"pictures\": []}, \"source\": \"微博 weibo.com\", \"content\": \"这是一条测试微博 #大数据# 分享技术经验和见解。\", \"created_at\": \"2025-01-21T21:55:34.633352+00:00\", \"engagement\": {\"likes\": 3108, \"reposts\": 158, \"comments\": 1028}}, \"user\": {\"id\": \"test_user_5\", \"name\": \"测试用户_3\", \"verified\": true, \"followers_count\": 8208}}', '{\"keyword\": \"人工智能\", \"user_id\": \"test_user_5\", \"platform\": \"weibo\", \"crawled_at\": \"2025-02-09T17:22:34.696151+00:00\", \"engagement_count\": 4294}', '2025-02-09 17:22:34.696201', 24);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (967, '{\"post\": {\"id\": \"test_post_98\", \"media\": {\"topics\": [\"深度学习\", \"人工智能\"], \"mentions\": [], \"pictures\": []}, \"source\": \"微博 weibo.com\", \"content\": \"这是一条测试微博 #深度学习# 分享技术经验和见解。\", \"created_at\": \"2025-01-27T12:32:34.633352+00:00\", \"engagement\": {\"likes\": 2498, \"reposts\": 523, \"comments\": 1586}}, \"user\": {\"id\": \"test_user_14\", \"name\": \"测试用户_8\", \"verified\": false, \"followers_count\": 9204}}', '{\"keyword\": \"Python\", \"user_id\": \"test_user_14\", \"platform\": \"weibo\", \"crawled_at\": \"2025-02-09T17:22:34.697544+00:00\", \"engagement_count\": 4607}', '2025-02-09 17:22:34.697602', 24);
INSERT INTO `data_crawler_crawleddata` (`id`, `data`, `metadata`, `created_at`, `task_id`) VALUES (968, '{\"post\": {\"id\": \"test_post_99\", \"media\": {\"topics\": [\"物联网\"], \"mentions\": [], \"pictures\": []}, \"source\": \"微博 weibo.com\", \"content\": \"这是一条测试微博 #物联网# 分享技术经验和见解。\", \"created_at\": \"2025-02-06T15:20:34.633352+00:00\", \"engagement\": {\"likes\": 81, \"reposts\": 781, \"comments\": 1843}}, \"user\": {\"id\": \"test_user_8\", \"name\": \"测试用户_13\", \"verified\": false, \"followers_count\": 7778}}', '{\"keyword\": \"数据分析\", \"user_id\": \"test_user_8\", \"platform\": \"weibo\", \"crawled_at\": \"2025-02-09T17:22:34.697898+00:00\", \"engagement_count\": 2705}', '2025-02-09 17:22:34.697947', 24);
COMMIT;

-- ----------------------------
-- Table structure for data_crawler_crawlertask
-- ----------------------------
DROP TABLE IF EXISTS `data_crawler_crawlertask`;
CREATE TABLE `data_crawler_crawlertask` (
  `id` bigint NOT NULL AUTO_INCREMENT,
  `name` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
  `status` varchar(20) COLLATE utf8mb4_unicode_ci NOT NULL,
  `parameters` json NOT NULL,
  `progress` int NOT NULL,
  `error_message` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
  `total_items` int NOT NULL,
  `crawled_items` int NOT NULL,
  `created_at` datetime(6) NOT NULL,
  `updated_at` datetime(6) NOT NULL,
  `completed_at` datetime(6) DEFAULT NULL,
  `data_source_id` bigint NOT NULL,
  `user_id` bigint NOT NULL,
  PRIMARY KEY (`id`),
  KEY `data_crawler_crawler_data_source_id_f7d703ae_fk_data_anal` (`data_source_id`),
  KEY `data_crawler_crawlertask_user_id_5817d2a3_fk_users_user_id` (`user_id`),
  CONSTRAINT `data_crawler_crawler_data_source_id_f7d703ae_fk_data_anal` FOREIGN KEY (`data_source_id`) REFERENCES `data_analysis_datasource` (`id`),
  CONSTRAINT `data_crawler_crawlertask_user_id_5817d2a3_fk_users_user_id` FOREIGN KEY (`user_id`) REFERENCES `users_user` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=25 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of data_crawler_crawlertask
-- ----------------------------
BEGIN;
INSERT INTO `data_crawler_crawlertask` (`id`, `name`, `status`, `parameters`, `progress`, `error_message`, `total_items`, `crawled_items`, `created_at`, `updated_at`, `completed_at`, `data_source_id`, `user_id`) VALUES (16, '微博数据爬取', 'completed', '{\"keywords\": [\"Python编程\", \"人工智能\", \"数据分析\"], \"max_pages\": 5}', 100, '', 0, 25, '2025-02-09 15:58:57.797805', '2025-02-09 15:59:46.161066', '2025-02-09 15:59:46.157332', 16, 10);
INSERT INTO `data_crawler_crawlertask` (`id`, `name`, `status`, `parameters`, `progress`, `error_message`, `total_items`, `crawled_items`, `created_at`, `updated_at`, `completed_at`, `data_source_id`, `user_id`) VALUES (17, '微博数据采集', 'completed', '{\"keywords\": [\"Python\", \"数据分析\", \"人工智能\"], \"max_pages\": 10}', 100, '', 100, 100, '2025-02-09 16:32:02.122191', '2025-02-09 16:32:02.122209', '2025-02-09 16:32:02.121970', 16, 8);
INSERT INTO `data_crawler_crawlertask` (`id`, `name`, `status`, `parameters`, `progress`, `error_message`, `total_items`, `crawled_items`, `created_at`, `updated_at`, `completed_at`, `data_source_id`, `user_id`) VALUES (18, '微博数据采集', 'completed', '{\"keywords\": [\"Python\", \"数据分析\", \"人工智能\"], \"max_pages\": 10}', 100, '', 100, 100, '2025-02-09 16:39:59.395901', '2025-02-09 16:39:59.395916', '2025-02-09 16:39:59.395668', 16, 8);
INSERT INTO `data_crawler_crawlertask` (`id`, `name`, `status`, `parameters`, `progress`, `error_message`, `total_items`, `crawled_items`, `created_at`, `updated_at`, `completed_at`, `data_source_id`, `user_id`) VALUES (19, '微博数据采集', 'completed', '{\"keywords\": [\"Python\", \"数据分析\", \"人工智能\"], \"max_pages\": 10}', 100, '', 100, 100, '2025-02-09 16:44:33.500514', '2025-02-09 16:44:33.500527', '2025-02-09 16:44:33.500328', 17, 8);
INSERT INTO `data_crawler_crawlertask` (`id`, `name`, `status`, `parameters`, `progress`, `error_message`, `total_items`, `crawled_items`, `created_at`, `updated_at`, `completed_at`, `data_source_id`, `user_id`) VALUES (20, '微博数据采集', 'completed', '{\"keywords\": [\"Python\", \"数据分析\", \"人工智能\"], \"max_pages\": 10}', 100, '', 100, 100, '2025-02-09 17:03:19.094562', '2025-02-09 17:03:19.094579', '2025-02-09 17:03:19.094363', 18, 8);
INSERT INTO `data_crawler_crawlertask` (`id`, `name`, `status`, `parameters`, `progress`, `error_message`, `total_items`, `crawled_items`, `created_at`, `updated_at`, `completed_at`, `data_source_id`, `user_id`) VALUES (21, '微博数据采集', 'completed', '{\"keywords\": [\"Python\", \"数据分析\", \"人工智能\"], \"max_pages\": 10}', 100, '', 100, 100, '2025-02-09 17:04:23.946410', '2025-02-09 17:04:23.946418', '2025-02-09 17:04:23.946282', 19, 8);
INSERT INTO `data_crawler_crawlertask` (`id`, `name`, `status`, `parameters`, `progress`, `error_message`, `total_items`, `crawled_items`, `created_at`, `updated_at`, `completed_at`, `data_source_id`, `user_id`) VALUES (22, '微博数据采集', 'completed', '{\"keywords\": [\"Python\", \"数据分析\", \"人工智能\"], \"max_pages\": 10}', 100, '', 100, 100, '2025-02-09 17:07:11.946109', '2025-02-09 17:07:11.946125', '2025-02-09 17:07:11.945862', 20, 8);
INSERT INTO `data_crawler_crawlertask` (`id`, `name`, `status`, `parameters`, `progress`, `error_message`, `total_items`, `crawled_items`, `created_at`, `updated_at`, `completed_at`, `data_source_id`, `user_id`) VALUES (23, '微博数据采集', 'completed', '{\"keywords\": [\"Python\", \"数据分析\", \"人工智能\"], \"max_pages\": 10}', 100, '', 100, 100, '2025-02-09 17:12:05.589038', '2025-02-09 17:12:05.589046', '2025-02-09 17:12:05.588912', 21, 8);
INSERT INTO `data_crawler_crawlertask` (`id`, `name`, `status`, `parameters`, `progress`, `error_message`, `total_items`, `crawled_items`, `created_at`, `updated_at`, `completed_at`, `data_source_id`, `user_id`) VALUES (24, '微博数据采集', 'completed', '{\"keywords\": [\"Python\", \"数据分析\", \"人工智能\"], \"max_pages\": 10}', 100, '', 100, 100, '2025-02-09 17:22:34.630810', '2025-02-09 17:22:34.630825', '2025-02-09 17:22:34.630593', 22, 8);
COMMIT;

-- ----------------------------
-- Table structure for django_admin_log
-- ----------------------------
DROP TABLE IF EXISTS `django_admin_log`;
CREATE TABLE `django_admin_log` (
  `id` int NOT NULL AUTO_INCREMENT,
  `action_time` datetime(6) NOT NULL,
  `object_id` longtext COLLATE utf8mb4_unicode_ci,
  `object_repr` varchar(200) COLLATE utf8mb4_unicode_ci NOT NULL,
  `action_flag` smallint unsigned NOT NULL,
  `change_message` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
  `content_type_id` int DEFAULT NULL,
  `user_id` bigint NOT NULL,
  PRIMARY KEY (`id`),
  KEY `django_admin_log_content_type_id_c4bce8eb_fk_django_co` (`content_type_id`),
  KEY `django_admin_log_user_id_c564eba6_fk_users_user_id` (`user_id`),
  CONSTRAINT `django_admin_log_content_type_id_c4bce8eb_fk_django_co` FOREIGN KEY (`content_type_id`) REFERENCES `django_content_type` (`id`),
  CONSTRAINT `django_admin_log_user_id_c564eba6_fk_users_user_id` FOREIGN KEY (`user_id`) REFERENCES `users_user` (`id`),
  CONSTRAINT `django_admin_log_chk_1` CHECK ((`action_flag` >= 0))
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of django_admin_log
-- ----------------------------
BEGIN;
COMMIT;

-- ----------------------------
-- Table structure for django_content_type
-- ----------------------------
DROP TABLE IF EXISTS `django_content_type`;
CREATE TABLE `django_content_type` (
  `id` int NOT NULL AUTO_INCREMENT,
  `app_label` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
  `model` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `django_content_type_app_label_model_76bd3d3b_uniq` (`app_label`,`model`)
) ENGINE=InnoDB AUTO_INCREMENT=14 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of django_content_type
-- ----------------------------
BEGIN;
INSERT INTO `django_content_type` (`id`, `app_label`, `model`) VALUES (1, 'admin', 'logentry');
INSERT INTO `django_content_type` (`id`, `app_label`, `model`) VALUES (3, 'auth', 'group');
INSERT INTO `django_content_type` (`id`, `app_label`, `model`) VALUES (2, 'auth', 'permission');
INSERT INTO `django_content_type` (`id`, `app_label`, `model`) VALUES (4, 'contenttypes', 'contenttype');
INSERT INTO `django_content_type` (`id`, `app_label`, `model`) VALUES (10, 'data_analysis', 'analysisresult');
INSERT INTO `django_content_type` (`id`, `app_label`, `model`) VALUES (8, 'data_analysis', 'analysistask');
INSERT INTO `django_content_type` (`id`, `app_label`, `model`) VALUES (9, 'data_analysis', 'datasource');
INSERT INTO `django_content_type` (`id`, `app_label`, `model`) VALUES (13, 'data_analysis', 'report');
INSERT INTO `django_content_type` (`id`, `app_label`, `model`) VALUES (12, 'data_crawler', 'crawleddata');
INSERT INTO `django_content_type` (`id`, `app_label`, `model`) VALUES (11, 'data_crawler', 'crawlertask');
INSERT INTO `django_content_type` (`id`, `app_label`, `model`) VALUES (5, 'sessions', 'session');
INSERT INTO `django_content_type` (`id`, `app_label`, `model`) VALUES (6, 'users', 'user');
INSERT INTO `django_content_type` (`id`, `app_label`, `model`) VALUES (7, 'users', 'userpreference');
COMMIT;

-- ----------------------------
-- Table structure for django_migrations
-- ----------------------------
DROP TABLE IF EXISTS `django_migrations`;
CREATE TABLE `django_migrations` (
  `id` bigint NOT NULL AUTO_INCREMENT,
  `app` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
  `name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
  `applied` datetime(6) NOT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=24 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of django_migrations
-- ----------------------------
BEGIN;
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (1, 'contenttypes', '0001_initial', '2025-02-08 04:48:36.181717');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (2, 'contenttypes', '0002_remove_content_type_name', '2025-02-08 04:48:36.234735');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (3, 'auth', '0001_initial', '2025-02-08 04:48:36.357497');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (4, 'auth', '0002_alter_permission_name_max_length', '2025-02-08 04:48:36.382733');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (5, 'auth', '0003_alter_user_email_max_length', '2025-02-08 04:48:36.385906');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (6, 'auth', '0004_alter_user_username_opts', '2025-02-08 04:48:36.388462');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (7, 'auth', '0005_alter_user_last_login_null', '2025-02-08 04:48:36.391508');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (8, 'auth', '0006_require_contenttypes_0002', '2025-02-08 04:48:36.392563');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (9, 'auth', '0007_alter_validators_add_error_messages', '2025-02-08 04:48:36.394847');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (10, 'auth', '0008_alter_user_username_max_length', '2025-02-08 04:48:36.396679');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (11, 'auth', '0009_alter_user_last_name_max_length', '2025-02-08 04:48:36.398565');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (12, 'auth', '0010_alter_group_name_max_length', '2025-02-08 04:48:36.406873');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (13, 'auth', '0011_update_proxy_permissions', '2025-02-08 04:48:36.410106');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (14, 'auth', '0012_alter_user_first_name_max_length', '2025-02-08 04:48:36.412622');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (15, 'users', '0001_initial', '2025-02-08 04:48:36.515629');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (16, 'admin', '0001_initial', '2025-02-08 04:48:36.548980');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (17, 'admin', '0002_logentry_remove_auto_add', '2025-02-08 04:48:36.552056');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (18, 'admin', '0003_logentry_add_action_flag_choices', '2025-02-08 04:48:36.555159');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (19, 'sessions', '0001_initial', '2025-02-08 04:48:36.571841');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (20, 'data_analysis', '0001_initial', '2025-02-08 05:18:26.518711');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (21, 'data_crawler', '0001_initial', '2025-02-09 14:54:08.410913');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (22, 'data_analysis', '0002_report', '2025-02-09 18:07:43.735964');
INSERT INTO `django_migrations` (`id`, `app`, `name`, `applied`) VALUES (23, 'data_analysis', '0003_report_task_id', '2025-02-09 18:37:03.522305');
COMMIT;

-- ----------------------------
-- Table structure for django_session
-- ----------------------------
DROP TABLE IF EXISTS `django_session`;
CREATE TABLE `django_session` (
  `session_key` varchar(40) COLLATE utf8mb4_unicode_ci NOT NULL,
  `session_data` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
  `expire_date` datetime(6) NOT NULL,
  PRIMARY KEY (`session_key`),
  KEY `django_session_expire_date_a5c62663` (`expire_date`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of django_session
-- ----------------------------
BEGIN;
COMMIT;

-- ----------------------------
-- Table structure for users_user
-- ----------------------------
DROP TABLE IF EXISTS `users_user`;
CREATE TABLE `users_user` (
  `id` bigint NOT NULL AUTO_INCREMENT,
  `password` varchar(128) COLLATE utf8mb4_unicode_ci NOT NULL,
  `last_login` datetime(6) DEFAULT NULL,
  `is_superuser` tinyint(1) NOT NULL,
  `username` varchar(150) COLLATE utf8mb4_unicode_ci NOT NULL,
  `first_name` varchar(150) COLLATE utf8mb4_unicode_ci NOT NULL,
  `last_name` varchar(150) COLLATE utf8mb4_unicode_ci NOT NULL,
  `email` varchar(254) COLLATE utf8mb4_unicode_ci NOT NULL,
  `is_staff` tinyint(1) NOT NULL,
  `is_active` tinyint(1) NOT NULL,
  `date_joined` datetime(6) NOT NULL,
  `phone` varchar(15) COLLATE utf8mb4_unicode_ci NOT NULL,
  `organization` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
  `api_key` varchar(64) COLLATE utf8mb4_unicode_ci NOT NULL,
  `is_premium` tinyint(1) NOT NULL,
  `created_at` datetime(6) NOT NULL,
  `updated_at` datetime(6) NOT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `username` (`username`)
) ENGINE=InnoDB AUTO_INCREMENT=12 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of users_user
-- ----------------------------
BEGIN;
INSERT INTO `users_user` (`id`, `password`, `last_login`, `is_superuser`, `username`, `first_name`, `last_name`, `email`, `is_staff`, `is_active`, `date_joined`, `phone`, `organization`, `api_key`, `is_premium`, `created_at`, `updated_at`) VALUES (1, 'pbkdf2_sha256$870000$D6ODlof133TO9JKOxQPsu4$NvYJRTRfYKOomw7sMyEm1zJCeni3kgem4EJNExD/60M=', NULL, 0, 'user', '', '', '2260732842@qq.com', 0, 1, '2025-02-08 05:19:49.474445', '', '', '', 0, '2025-02-08 05:19:49.648081', '2025-02-08 05:19:49.648088');
INSERT INTO `users_user` (`id`, `password`, `last_login`, `is_superuser`, `username`, `first_name`, `last_name`, `email`, `is_staff`, `is_active`, `date_joined`, `phone`, `organization`, `api_key`, `is_premium`, `created_at`, `updated_at`) VALUES (2, 'pbkdf2_sha256$870000$aXuFJ0ARm5wcYpoRN8w04h$beLPet6QE75ZsrlwK60uwGlgAvJAtXkabbyMp6gHhDg=', NULL, 0, 'admi', '', '', '2260732842@qq.com', 0, 1, '2025-02-08 05:28:21.218508', '15959392396', '', '', 0, '2025-02-08 05:28:21.411807', '2025-02-08 05:28:21.411817');
INSERT INTO `users_user` (`id`, `password`, `last_login`, `is_superuser`, `username`, `first_name`, `last_name`, `email`, `is_staff`, `is_active`, `date_joined`, `phone`, `organization`, `api_key`, `is_premium`, `created_at`, `updated_at`) VALUES (8, 'pbkdf2_sha256$870000$nX3exHS1twf6mdLKRxA5aZ$WL2iAoxl/oAx95VBilmQ8HAguwLpbga4yTZwTmCsSsA=', NULL, 0, 'test_user', '', '', 'test@example.com', 0, 1, '2025-02-09 15:11:54.080908', '', '', '', 0, '2025-02-09 15:11:54.081220', '2025-02-09 17:13:24.696868');
INSERT INTO `users_user` (`id`, `password`, `last_login`, `is_superuser`, `username`, `first_name`, `last_name`, `email`, `is_staff`, `is_active`, `date_joined`, `phone`, `organization`, `api_key`, `is_premium`, `created_at`, `updated_at`) VALUES (9, 'pbkdf2_sha256$870000$af8Q1UQ05LdMH1fpxZYjeR$zZjWzTqd9IY66EpJra9biLuYuSfY83v66cqWLEleV/Y=', NULL, 1, 'admin', '', '', 'admin@example.com', 1, 1, '2025-02-09 15:58:02.224480', '', '', '', 0, '2025-02-09 15:58:02.369964', '2025-02-09 15:58:02.370217');
INSERT INTO `users_user` (`id`, `password`, `last_login`, `is_superuser`, `username`, `first_name`, `last_name`, `email`, `is_staff`, `is_active`, `date_joined`, `phone`, `organization`, `api_key`, `is_premium`, `created_at`, `updated_at`) VALUES (10, 'pbkdf2_sha256$870000$of0HHndSoQuQkiWCUwgLyn$KJ4y4f08RwhF2mxVWtl+4sT0s5Kgq+xVLAnc8b3Z3dA=', NULL, 1, 'wangjie', '', '', 'admin@example.com', 1, 1, '2025-02-09 15:58:17.276883', '', '', '', 0, '2025-02-09 15:58:17.439665', '2025-02-09 15:58:17.439672');
INSERT INTO `users_user` (`id`, `password`, `last_login`, `is_superuser`, `username`, `first_name`, `last_name`, `email`, `is_staff`, `is_active`, `date_joined`, `phone`, `organization`, `api_key`, `is_premium`, `created_at`, `updated_at`) VALUES (11, 'pbkdf2_sha256$870000$iV1sDxte4mleluplJQVAYD$IpIAHehqfh6DAahy5qaBFnmn2KAtDlnb3rDLiGVTPXo=', NULL, 0, 'test_user2', '', '', 'test@example.com', 0, 1, '2025-02-09 17:11:40.981989', '', '', '', 0, '2025-02-09 17:11:41.150491', '2025-02-09 17:11:41.150501');
COMMIT;

-- ----------------------------
-- Table structure for users_user_groups
-- ----------------------------
DROP TABLE IF EXISTS `users_user_groups`;
CREATE TABLE `users_user_groups` (
  `id` bigint NOT NULL AUTO_INCREMENT,
  `user_id` bigint NOT NULL,
  `group_id` int NOT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `users_user_groups_user_id_group_id_b88eab82_uniq` (`user_id`,`group_id`),
  KEY `users_user_groups_group_id_9afc8d0e_fk_auth_group_id` (`group_id`),
  CONSTRAINT `users_user_groups_group_id_9afc8d0e_fk_auth_group_id` FOREIGN KEY (`group_id`) REFERENCES `auth_group` (`id`),
  CONSTRAINT `users_user_groups_user_id_5f6f5a90_fk_users_user_id` FOREIGN KEY (`user_id`) REFERENCES `users_user` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of users_user_groups
-- ----------------------------
BEGIN;
COMMIT;

-- ----------------------------
-- Table structure for users_user_user_permissions
-- ----------------------------
DROP TABLE IF EXISTS `users_user_user_permissions`;
CREATE TABLE `users_user_user_permissions` (
  `id` bigint NOT NULL AUTO_INCREMENT,
  `user_id` bigint NOT NULL,
  `permission_id` int NOT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `users_user_user_permissions_user_id_permission_id_43338c45_uniq` (`user_id`,`permission_id`),
  KEY `users_user_user_perm_permission_id_0b93982e_fk_auth_perm` (`permission_id`),
  CONSTRAINT `users_user_user_perm_permission_id_0b93982e_fk_auth_perm` FOREIGN KEY (`permission_id`) REFERENCES `auth_permission` (`id`),
  CONSTRAINT `users_user_user_permissions_user_id_20aca447_fk_users_user_id` FOREIGN KEY (`user_id`) REFERENCES `users_user` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of users_user_user_permissions
-- ----------------------------
BEGIN;
COMMIT;

-- ----------------------------
-- Table structure for users_userpreference
-- ----------------------------
DROP TABLE IF EXISTS `users_userpreference`;
CREATE TABLE `users_userpreference` (
  `id` bigint NOT NULL AUTO_INCREMENT,
  `data_sources` json NOT NULL,
  `visualization_settings` json NOT NULL,
  `notification_settings` json NOT NULL,
  `created_at` datetime(6) NOT NULL,
  `updated_at` datetime(6) NOT NULL,
  `user_id` bigint NOT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `user_id` (`user_id`),
  CONSTRAINT `users_userpreference_user_id_bdcaa563_fk_users_user_id` FOREIGN KEY (`user_id`) REFERENCES `users_user` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;

-- ----------------------------
-- Records of users_userpreference
-- ----------------------------
BEGIN;
INSERT INTO `users_userpreference` (`id`, `data_sources`, `visualization_settings`, `notification_settings`, `created_at`, `updated_at`, `user_id`) VALUES (1, '{}', '{}', '{}', '2025-02-08 05:19:49.669253', '2025-02-08 05:19:49.669277', 1);
INSERT INTO `users_userpreference` (`id`, `data_sources`, `visualization_settings`, `notification_settings`, `created_at`, `updated_at`, `user_id`) VALUES (2, '{}', '{}', '{}', '2025-02-08 05:28:21.486098', '2025-02-08 05:28:21.486124', 2);
INSERT INTO `users_userpreference` (`id`, `data_sources`, `visualization_settings`, `notification_settings`, `created_at`, `updated_at`, `user_id`) VALUES (3, '{}', '{}', '{}', '2025-02-09 17:13:56.332929', '2025-02-09 17:13:56.332950', 8);
COMMIT;

SET FOREIGN_KEY_CHECKS = 1;
